Snowflake

Senior Manager, AI ML Applied Field Engineering

California, United States

$166,000 – $259,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Cloud, AI/ML, Enterprise SoftwareIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: $166K - $259K

Build the future of the AI Data Cloud. Join the Snowflake team. Our AI ML Applied Field Engineering (AFE) organization is seeking a Senior Manager to lead a highly skilled pre-sales team focusing on driving Snowflake’s AI ML adoption across North America. In this role, you will manage a team of exceptional AFEs who partner with our Product sales team to understand customer needs, strategize on navigating sales cycles, and provide value-based evaluation scenarios including demonstrations, labs, POCs, and pilots to win business. As a Senior Manager, you will provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Platform as a critical component of their enterprise data architecture and overall ML ecosystem. This is a customer-facing role, and you’ll get to directly work with the most cutting-edge strategic customers across North America. In this role, you will work with leaders across sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake as a core technology enabling platform for the emerging Data Science workload throughout an organization. Reporting to the Head of AI ML AFEs, you will play a hands-on role in building and managing a team of AFEs and owning the revenue and consumption responsibilities for the group.

Requirements

  • (Details not provided in the original text)

Responsibilities

  • Build and lead a team of AFEs who serve as our core product introduction, evaluation, and education experts.
  • Coordinate cross-functional dotted line resources to achieve team goals.
  • Partner with sales leadership to achieve regional quota and consumption targets and ensure customer success.
  • Provide guidance to revenue leaders on sales strategy, product obstacles/gaps, and represent the team’s needs to executive staff.
  • Interpret complex problems, create simple solutions, and collaborate closely with prospects, channel partners, and our sales team to deliver winning solutions.
  • Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers.
  • Collaborate and maintain a close working relationship with product, engineering, sales, marketing, and services.
  • Play an active role in sourcing and screening potential candidates and managing the entire interview process.
  • Serve as an inspiring player/coach, mentoring team members to develop their professional skills while leading by example in customer presentations and strategic initiatives.
  • Foster a culture of continuous learning and growth by providing regular coaching, feedback, and career development opportunities that help team members reach their full potential.
  • Build and nurture a high-performing team through hands-on leadership, professional development planning, and creating pathways for career advancement while delivering exceptional results to customers.

Company Information

  • Company: Snowflake
  • Industry: Cloud Computing (Data Cloud)

Skills

AI
ML
Pre-sales
Customer Engagement
Team Leadership
Sales Strategy
Product Demonstrations
Pilot/POC Execution
Data Architecture
Enterprise Data
Data Science

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.
Increased competition from Mistral AI could challenge Snowflake's market position.
Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
The AI Data Cloud enables near-unlimited scale and performance for data mobilization.
Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.
Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.
Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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